{"product_id":"polars-data-engineering-in-python-alice-schwartz-9798176642278","title":"Polars Data Engineering in Python: Building Fast Data Pipelines with Arrow and Lazy Evaluation","description":"\u003cb\u003eReactive Publishing\u003c\/b\u003e\u003cp\u003e\u003cb\u003eUnlock peak performance in Python data processing with the power of modern, multi-threaded DataFrames.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eAs datasets grow into millions of rows, traditional single-threaded Python tools hit severe memory bottlenecks and slow to a crawl. \u003ci\u003ePolars Data Engineering in Python\u003c\/i\u003e provides a clear, practical roadmap to building lightning-fast, production-grade data pipelines using the Polars library.\u003c\/p\u003e\u003cp\u003eDesigned for data engineers, scientists, and analysts who need to break through Python's speed limits, this hands-on guide shows you how to write clean, vectorized code that executes at native C\/Rust speeds.\u003c\/p\u003eWhat You Will Learn: \u003cul\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eArrow-Native Architecture: \u003c\/b\u003e Harness Apache Arrow's columnar in-memory format for zero-copy operations and reduced memory footprint.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eLazy Evaluation \u0026amp; Query Optimization: \u003c\/b\u003e Master query planning to automatic optimize filters, projections, and joins before execution.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eParallel Processing: \u003c\/b\u003e Utilize all CPU cores automatically without managing complex concurrency, threads, or locks.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eStreaming \u0026amp; Out-of-Core Execution: \u003c\/b\u003e Process datasets larger than your machine's physical RAM seamlessly.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003e\u003cb\u003eReal-World Integration: \u003c\/b\u003e Connect Polars smoothly into existing Python ecosystems, SQL workflows, and data warehouse pipelines.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWhether you are migrating existing workflows or architecture from scratch, this book gives you the exact patterns and techniques needed to build resilient, high-performance data pipelines.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eUpgrade your data infrastructure and accelerate your Python workflows today.\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Alice Schwartz,James Preston\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798176642278\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 09\/23\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 402\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.07lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 1.00d","brand":"Alice Schwartz","offers":[{"title":"Paperback","offer_id":50780135653631,"sku":"9798176642278","price":39.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/polars-data-engineering-in-python-alice-schwartz-9798176642278","provider":"WR Book House","version":"1.0","type":"link"}